For: Plant breeders, quantitative geneticists, breeding analytics developers, biometricians, bioinformaticians, and the BrIN community
By: Bayer, EiB, Cornell University, IITA, CIMMYT, IRRI
Watch the webinar: (recorded May 6, 2021)
Download the presentation PDF: Click here
Questions for the presenter: can be submitted here
Decision making in a commercial breeding program - Breeding Informatics Network Community Learning Series
An expert presentation and discussion on how Bayer increased data fluency and analytics to make better decisions. What did they learn and what changes were adopted over the last 10 years? Join Bayer, Cornell, EiB and partners for an examination of how over the years of testing, Bayer has aimed to get increasing confidence for performance in farmers’ fields and conditions. This includes increasing the number of locations and size of experimental plots.
Brian Gardunia of Bayer Crop Science describes data analytics that used for decision making and how that helps ensure confidence that the right varieties and hybrids have been selected to sell. The presentation is followed by Q&A.
Webinar objectives: The webinar will help participants understand:
- What data-driven modern breeding programs look like
- How data analytics are routinely used in modern breeding programs
- How data analytics can shorten breeding cycle, improve operation efficiencies, and selection accuracies, and genetic gains
Presenter: Brian Gardunia, Bayer Crop Science
Hosts: Breeding Informatics Network (BrIN) Lead/Project Manager, Young Wha Lee, EiB / Star Gao, Cornell University
Special thanks: to EiB project funders including Bill & Melinda Gates Foundation, the UK Foreign, Commonwealth & Development Office, the United States Agency for International Development, GIZ/BMZ Germany, ACIAR Australia, the Foundation for Food and Agricultural Research (FFAR), and our presenters and partners.